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Privacy Policy, Acceptable Technology Use Agreement & Experiential Lab Consent Form
Sovereign Dyad Privacy Policy
- Data Collected: Student name, email, contact details, assignment submissions, and necessary Ontario Student Record (OSR) information for accredited credit reporting.
- Use of Information: Data is strictly used for course delivery, grading, and administrative communications managed by Dr. Stephanie Sadownik (OCT #660526). Data is never sold or shared for commercial purposes.
- Third-Party Systems: Learning occurs within secure Google Workspace and Google Classroom platforms. Account data is subject to standard Google Workspace security and privacy protocols.
Technology & Platform Use Policy
- Account Security: The $25 account fee covers a dedicated Google Workspace user profile. Students are responsible for maintaining account confidentiality and must not share login credentials.
- Appropriate Conduct: Students must maintain respectful, constructive communication on Google Classroom, discussion boards, and video calls. Harassment, unauthorized recording, or distribution of class materials is strictly prohibited.
- Academic Integrity: All work submitted through Google Classroom must be original student work adhering to Ontario Ministry of Education guidelines. Plagiarism or unauthorized AI usage will result in formal review.
Experiential Learning & Lab Visit Consent
Please select YES or NO for each in-person lab visit option. Students who do not participate in-person will be provided an equivalent online learning module.
- University Science Lab (i.e. Dr. Razieh Salahandish; Dr. Shideh Kabiri Ameri) Visit
Permission for student participation in supervised in-person laboratory visits, guest demonstrations, and research activities at various post secondary science labs detail below.
- [ ] YES – I grant permission for my child to participate in person.
- [ ] NO – My child will complete the alternative virtual assignment.
Acknowledgment & Authorization
I have read and agree to the Privacy Policy, Technology Use Policy, and the lab selections indicated above.
Post-Secondary Lab Location and Interest Information
Queen’s University – Department of Electrical and Computer Engineering
Dr. Shideh Kabiri Ameri is an engineering researcher and professor at Queen’s University who specializes in ultra-thin, wearable health technologies.
- Role & Affiliation: She serves as an Associate Professor in the Department of Electrical and Computer Engineering at Queen’s University.
- Research Focus: She works with advanced 2D materials (such as graphene) to build flexible, wearable electronics and bioelectronic sensors.
- Key Innovations: She is best known for developing “graphene electronic tattoos”—lightweight, temporary tattoo-like sensors that adhere directly to the skin to track health data like heart rate, brain waves, and muscle/eye movements.
- Practical Goal: Her aim is to create comfortable, nearly invisible health-monitoring tools for mobile healthcare, smart electronics, and seamless human-machine communication.
Dr. Shideh Kabiri Ameri tests physiological body signals and physical skin metrics using ultra-thin, flexible bioelectronic sensors and “graphene electronic tattoos.”
Electrophysiological Signals Tested
- Heart Activity (ECG): Tracking heart rate, rhythm, and cardiovascular health through continuous skin-surface reading.
- Brain Activity (EEG): Measuring brainwaves to monitor neurological activity, cognitive states, and sleep/mental health.
- Muscle Movement (EMG): Recording muscle contractions and motor responses for physical rehabilitation and prosthetics.
- Eye Movement (EOG): Tracking corneal-retinal potential shifts during eye movements to study gaze patterns and drive human-robot interfaces.
Physical & Skin Metrics Tested
- Skin Hydration & Sweat: Monitoring moisture retention and skin barrier hydration levels.
- Skin Temperature: Measuring continuous localized body temperature changes.
- Physical Strain & Posture: Sensing body movement, skin stretching, and joint posture shifts.
Goal of the Testing
Her experiments evaluate how soft, sub-micrometer materials (like graphene) can conform to irregular body contours—including the wrist, face, or inner ear—to replace bulky hospital wiring with imperceptible, continuous monitoring tools for mobile healthcare and smart device control.
York University’s Lassonde School of Engineering – Department of Electrical Engineering and Computer Science
Dr. Razieh Salahandish is an engineering researcher and professor at York University who designs smart technology to detect medical conditions early.
- Role & Affiliation: She serves as a faculty researcher in the Department of Electrical Engineering and Computer Science at York University’s Lassonde School of Engineering.
- Research Focus: She works to discover early warning signs (biomarkers) for diseases such as cancers, brain disorders (like Alzheimer’s, Parkinson’s, and epilepsy), and chronic inflammatory conditions.
- Testing Methods: Her work involves testing easy-to-collect body fluids—like sweat, tears, and saliva—as well as analyzing medical images (MRIs, CT scans) and body signals (like EEGs or walking patterns).
- Practical Goal: She uses this research to build simple, non-invasive health tools, including wearable skin patches, smart contact lenses, and AI computer programs that help doctors diagnose patients faster.
Dr. Razieh Salahandish is testing non-invasive body fluids, medical imaging, and movement signals to identify early markers of major health conditions.
What She Tests & Analyzes
- Body Fluids: Sweat, tear, and saliva samples collected from patients and healthy participants.
- Medical Scans & Signals: Brain and body imaging (MRI, CT, X-ray), brainwave activity (EEG), and light/eye-tracking responses.
- Movement Data: Video recordings of walking patterns (gait analysis), crouching, and physical coordination.
Target Health Conditions
- Brain & Neurological Disorders: Alzheimer’s, Parkinson’s, Epilepsy, and Autism.
- Cancers: Breast, ovarian, brain, and bladder cancers, among others.
- Inflammatory Diseases: Autoimmune disorders and chronic or acute inflammation.
Goal of the Testing By evaluating the chemical composition of biospecimens and running AI analysis on physical signals, her goal is to discover unique disease “biomarkers.” These findings are then used to build rapid diagnostic technology—such as wearable skin patches, smart contact lenses, and automated AI tools—for early disease detection.
Carleton University – Department of Biology and Institute of Biochemistry
Dr. Kama Szereszewski is an Assistant Professor in the Department of Biology and Institute of Biochemistry at Carleton University, where she serves as the Program Chair for the Master of Biotechnology (MBT).
- Role & Affiliations: Assistant Professor (Teaching Stream) in Biology and Biochemistry, Biotechnology Professional Program Chair, and startup mentor at Carleton’s Innovation Hub.
- Academic & Research Background: Earned her Ph.D. in Biochemistry from Carleton University, specializing in extreme metabolic adaptations—specifically how animals survive freezing, oxygen deprivation (hypoxia), and hibernation.
- Industry Experience: Spent over five years in the biotech startup sector, working directly on R&D, intellectual property management, and regulatory compliance.
- Current Focus: Spearheads Carleton’s Master of Biotechnology program, bridging the gap between laboratory discovery and commercial application. She trains science graduate students in biotechnology entrepreneurship, intellectual property, and business strategy to turn research into market-ready products.
Unlike lab researchers focused on clinical diagnostic testing, Dr. Kama Szereszewski tests commercial feasibility for biotech innovations in her current academic role, building on a background in testing cellular and metabolic stress adaptations in animals.
1. Commercial & Market Testing (Current Academic Focus)
- Venture Feasibility: She “stress-tests” early-stage scientific, technological, and engineering research to evaluate whether lab discoveries can be successfully converted into marketable products, patents, and biotech startups.
- Biotech Translation: She tests and refines business models, regulatory strategies, and intellectual property management to bridge the gap between academic laboratory discoveries and real-world commercial viability.
2. Biological & Cellular Stress Testing (Biochemical Research)
- Extreme Metabolic Adaptations: She tests how animal cells and tissues regulate their gene expression and protein synthesis to survive severe environmental conditions like freezing, oxygen starvation (hypoxia/anoxia), and hibernation.
- Organisms & Tissues Analyzed:
- Hibernators (Ground Squirrels & Mole-Rats): Profiling microRNA expression, mitochondrial prosurvival peptides, and brain tissue responses during low-oxygen and metabolic suppression cycles.
- Anoxic Turtles: Testing anaerobic metabolic pathways and translational regulation in red-eared slider turtles during prolonged oxygen deprivation.
- Yeast Models: Investigating cellular stress sensitivity and genetic responses (e.g., acetic acid stress) in Saccharomyces cerevisiae.
- Molecular Interests: Analyzing microRNAs, genomic sequencing data, and the physiological interconnections between the gut microbiome and the brain.
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Mandatory Provincial Disclosure
Sovereign Dyad Academy has submitted a Notice of Intention to Operate a Private School and is seeking inspection for authority to grant credits toward the Ontario Secondary School Diploma (OSSD).
Contact: stephanie@sovereigndyad.ca | www.sovereigndyad.ca
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